Amazon launches new features, and the return solution tool is upgraded again!

Recently, in order to retain more consumers, Amazon launched two new features!

In response to the high return rate of fashion products (clothing, shoes and boots), Amazon has launched a new feature - Fit Insights Tool (FIT), which aims to help clothing and footwear sellers effectively reduce the return rate. This feature was launched on the US site in March and is now available to sellers on the European site!

This function can help sellers locate the size and fit issues of different sizes from the parent ASIN level by quickly capturing and analyzing return data, size charts, and customers' comments on size, quality, and price, and accurately grasp consumers' demand for styles. This allows consumers to place orders with confidence and buy the right ones, and sellers to sell with confidence and reduce "after-sales worries"!

1. The overall return rate of your own clothing brand;

2. Customer feedback on the pattern of a single clothing item and optimization suggestions given by the system;

3. Benchmark return rates for similar apparel products to help sellers benchmark against similar categories;

4. Specific customer feedback helps sellers make targeted product improvements and iterations;

5. Size chart analyzer helps sellers detect anomalies and make improvement suggestions for size information.

For ASINs with "high return rates and poor performance", sellers can gain detailed insights into the reasons for product returns from three dimensions: return analysis, review opinions, and size chart analysis.

In addition, FIT has also opened the version comparison dimension (beta version) to some sellers. Sellers can compare product size data with the body version information of anonymous customers who purchased similar products to help sellers determine the size settings of products more accurately.

Fit lnsights tool provides accurate data and clear reasons, reducing the trouble and loss caused by returns, and effectively increasing customer satisfaction! One operation achieves a win-win situation, and it is recommended that eligible European and American site sellers use it!

In February of this year, Amazon launched and tested the AI ​​shopping assistant Rufus on a small scale. After months of careful polishing and testing, Amazon finally announced the launch of its revolutionary generative AI shopping assistant, Rufus, to all US users.

Rufus mainly uses Amazon's first-party data, including product catalogs, customer reviews, and community Q&A information, to answer questions about various shopping needs and products, helping buyers save time and make smarter purchasing decisions. Rufus recommends related products to customers, and sometimes lists shopping links with poor experience, which will affect sellers' sales.

How to use Rufus? Rufus is currently only available in the Amazon mobile app and is not yet available on the computer web version.

Users can open the Amazon mobile app (make sure it's the latest version) and tap the Rufus icon (a flashing chat bubble) in the navigation bar at the bottom of the screen. A Rufus chat box will appear where customers can ask questions or tap one of the suggested questions to start a conversation.

Rufus main functions: Rufus is designed to assist customers in a variety of ways to make the shopping experience more efficient and enjoyable.

1. Recommend suitable products based on buyer needs, with shopping links attached, and sometimes also list shopping links with poor experience;

2. Help buyers quickly understand product details and listen to other buyers' opinions, so that customers don't have to spend time browsing product details and a large number of reviews;

3. Quickly compare the features of different products to help buyers identify the products they like;

4. Find the best recommendations for the specific content you need;

5. Search and discover products based on activities, events, purposes, and other specific use cases.

It’s worth noting that Rufus isn’t limited to answering shopping-related questions. It can reportedly handle non-shopping inquiries, such as questions about the U.S. election. When asked about key election topics, Rufus will direct users to Amazon search results to display relevant information on the topic.

Although it is still early days for generative AI and Rufus, more and more customers are using Rufus to help them make smarter shopping decisions. Since its launch, Rufus has been widely praised by users. Customers have asked tens of millions of questions, ranging from specific product details to general shopping suggestions. I believe Amazon will continue to promote AI to improve the user experience of customers in all aspects.